Informatics Publishing Limited

M. Dev Anand ¹, T. Selvaraj ¹, S. Kumanan ¹

Affiliations
1 Dept of Production Engg., National Institute of Technology, Tiruchirappalli, IN

Abstract

A high degree of automation in flexible production units demands powerful tools for supervision and fault detection. This paper outlines recent advances on the theory of model-based fault diagnosis in dynamic systems. Robot manipulator fault detection and diagnosis involves processing of huge information about the robot system. A fuzzy logic based threshold for residual evaluation is suggested here. The proposed fuzzy logic control scheme has been applied to trajectory control of a five-degree of freedom robot manipulator. The proposed method is capable to address unstructured and unknown disturbances. Simulated results are presented in terms of fault detection accuracy and knowledge extraction feasibility.

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R. Siva Sankar ¹, P. Asokan ¹, S. Kumanan ¹, T. Selvaraj ¹

Affiliations
1 Department of Production Engineering, National Institute of Technology, Tiruchirappalli, Tamilnadu - 620 015, IN

Abstract

This paper proposes a new optimization technique based on Adaptive Genetic Algorithm (AGA) to solve multi-pass turning optimization problems. The objective function is to determine machining parameters by minimizing the unit production cost subjected to various practical machining constraints. The proposed Adaptive Genetic Algorithm scheme for optimization of multi-pass turning operation proves p be competent with Genetic Algorithm and Simulated Annealing.

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